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What Needs to Be Added to Machine Learning? PAC Learning and Reasoning

T. Jefferson Coolidge Professor of Computer Science & Turing Laureate, Harvard University

54:36·2020·graduate level·Research Seminar
Path step 5: Unifies computational complexity with statistical learnability via the PAC framework.

PAC-learning pioneer Leslie Valiant examines how statistical generalization and compositional logical deduction can be unified in formal computational models of educability.

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